Geometric calibration method based on a two-dimensional turntable for a directional polarimetric camera.

Area of Science:

• Remote Sensing Technology
• Optical Engineering
• Geomatics

Background:

• Geometric calibration is critical for remote sensing satellites.
• Directional polarimetric cameras (DPC) require precise calibration for accurate data acquisition.
• Existing calibration methods may have limitations in precision and operational simplicity.

Purpose of the Study:

• To propose a novel, high-precision geometric calibration method for DPC.
• To enhance the accuracy and simplify the operational procedure of DPC calibration.
• To validate the proposed method against existing techniques and demonstrate its superiority.

Main Methods:

• A geometric calibration method employing a two-dimensional turntable and rotation matrix.
• Utilizing coordinate system rotation transformations to eliminate axis misalignment errors.
• Comparative experimental analysis against Chen's method using calibration residuals and reprojection errors.

Main Results:

• The proposed method achieved a calibration residual of less than 0.1 pixel, compared to 0.3 pixel for Chen's method.
• Mean reprojection error reduced to 0.06352 pixel and root mean square error to 0.06961 pixel.
• Successful application of calibrated parameters for geometric correction of in-orbit DPC images.

Conclusions:

• The proposed geometric calibration method is effective and superior for directional polarimetric cameras.
• The method offers high precision, simple operation, and a wide application range.
• Improved calibration accuracy enhances the quality of remote sensing data from DPC.